{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "amateur-individual",
   "metadata": {},
   "source": [
    "# Best practice in large-scale cross-dataset label transfer using CellTypist\n",
    "This notebook demonstrates how to perform cell type label transfer between large scRNA-seq datasets using CellTypist."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "comprehensive-desire",
   "metadata": {},
   "source": [
    "## About model training and cell type prediction\n",
    "Cell type prediction using existing models (e.g. the CellTypist built-in models) is usually fast. In other cases, a bespoke model needs to be trained based on the reference dataset of interest. This notebook deals with the latter, with a particular focus on large datasets. Make sure you have at least 30~40GB RAM before running this notebook."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "violent-calculator",
   "metadata": {},
   "source": [
    "## Install CellTypist"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "gross-coupon",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting celltypist\n",
      "  Using cached celltypist-0.1.8-py3-none-any.whl (5.0 MB)\n",
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      "Requirement already satisfied: get-version>=2.0.4 in /opt/conda/lib/python3.8/site-packages (from legacy-api-wrap->scanpy>=1.7.0->celltypist) (2.1)\n",
      "Requirement already satisfied: stdlib-list in /opt/conda/lib/python3.8/site-packages (from sinfo->scanpy>=1.7.0->celltypist) (0.7.0)\n",
      "Requirement already satisfied: numexpr>=2.6.2 in /opt/conda/lib/python3.8/site-packages (from tables->scanpy>=1.7.0->celltypist) (2.7.3)\n",
      "Installing collected packages: celltypist\n",
      "Successfully installed celltypist-0.1.8\n"
     ]
    }
   ],
   "source": [
    "!pip install celltypist"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "dangerous-there",
   "metadata": {},
   "outputs": [],
   "source": [
    "import scanpy as sc\n",
    "import celltypist\n",
    "import time\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "present-flexibility",
   "metadata": {},
   "source": [
    "## Download two datasets for label transfer"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "surrounded-snake",
   "metadata": {},
   "source": [
    "Both datasets used in this notebook can be easily downloaded from the human [gut cell atlas](https://www.gutcellatlas.org/)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "tropical-double",
   "metadata": {},
   "source": [
    "Download the dataset of 428k intestinal cells from fetal, pediatric, adult donors, and up to 11 intestinal regions ([Elmentaite et al. 2021](https://doi.org/10.1038/s41586-021-03852-1))."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "phantom-award",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "dfd27a26b84b4497ab541574c7609db1",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0.00/5.72G [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "adata_Elmentaite = sc.read('celltypist_demo_folder/gut_cell_atlas_Elmentaite.h5ad', backup_url = 'https://cellgeni.cog.sanger.ac.uk/gutcellatlas/Full_obj_raw_counts_nosoupx.h5ad')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "separated-quarterly",
   "metadata": {},
   "source": [
    "Since this object stores raw count expression matrix, we first log-normalise it with the library size of 10,000."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "norwegian-focus",
   "metadata": {},
   "outputs": [],
   "source": [
    "sc.pp.normalize_total(adata_Elmentaite, target_sum = 1e4)\n",
    "sc.pp.log1p(adata_Elmentaite)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "economic-symbol",
   "metadata": {},
   "source": [
    "Download the other dataset of 42k immune cells from the MLNs and lamina propria of the cecum, transverse colon and sigmoid colon ([James et al. 2020](https://doi.org/10.1038/s41590-020-0602-z))."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "broad-decimal",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c871a9ce77de4c728ae7ecd59b5abc59",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0.00/503M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "adata_James = sc.read('celltypist_demo_folder/gut_cell_atlas_James.h5ad', backup_url = 'https://cellgeni.cog.sanger.ac.uk/gutcellatlas/Colon_cell_atlas.h5ad')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "occasional-satin",
   "metadata": {},
   "source": [
    "This object is already log-normalised to 10,000 counts, so no processing is needed here."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "informative-government",
   "metadata": {},
   "source": [
    "Cell type annotation information is stashed in `Integrated_05` and `cell_type`, respectively."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "announced-michigan",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['DZ GC cell', 'Cycling B cell', 'gdT', 'Memory B', 'Treg', ..., 'EC cells (NPW+)', 'β cells (INS+)', 'Branch A2 (IPAN/IN)', 'Branch A3 (IPAN/IN)', 'Germ']\n",
       "Length: 134\n",
       "Categories (134, object): ['DZ GC cell', 'Cycling B cell', 'gdT', 'Memory B', ..., 'β cells (INS+)', 'Branch A2 (IPAN/IN)', 'Branch A3 (IPAN/IN)', 'Germ']"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 134 cell types in the first data.\n",
    "adata_Elmentaite.obs.Integrated_05.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "dominant-optimum",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['B cell IgA Plasma', 'B cell memory', 'CD8 T', 'gd T', 'Mast', ..., 'Activated CD4 T', 'pDC', 'Tfh', 'Lymphoid DC', 'cycling DCs']\n",
       "Length: 25\n",
       "Categories (25, object): ['B cell IgA Plasma', 'B cell memory', 'CD8 T', 'gd T', ..., 'pDC', 'Tfh', 'Lymphoid DC', 'cycling DCs']"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 25 cell types in the second data.\n",
    "adata_James.obs.cell_type.unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "considerable-electricity",
   "metadata": {},
   "source": [
    "## Transfer cell type labels from the first dataset to the second dataset\n",
    "This section shows how to transfer cell type labels from `adata_Elmentaite` to `adata_James`, and to assess and visualise the prediction result."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "palestinian-maintenance",
   "metadata": {},
   "source": [
    "### (Optional) Downsample cells for the first dataset\n",
    "First we downsample the 428k cells in `adata_Elmentaite`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "foster-antenna",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(428469, 33538)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "adata_Elmentaite.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "careful-brain",
   "metadata": {},
   "source": [
    "There are several ways to downsample cells, including: 1) downsampling cells to a given number; 2) downsampling cells to a given number, with cell types fairly represented (i.e. rare cell types are sampled with a higher probability); 3) downsampling cells from each cell type to a given number; 4) other downsampling strategies. For this dataset, we used the third approach with the aid of `celltypist.samples.downsample_adata`. You can also try the first or second options using this function, or any other custom downsampling strategies suited to your data."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "biological-experience",
   "metadata": {},
   "source": [
    "Downsampling will be beneficial when cells are well annotated, say, cells from a given cell type are transcriptionally homogeneous. *Skip the whole sub-section if you think the available cell type information is coarse and downsampling may skew the cell type representations in the original dataset.*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "subject-objective",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Sample 500 cells from each cell type for `adata_Elmentaite`.\n",
    "# All cells from a given cell type will be selected if the cell type size is < 500.\n",
    "sampled_cell_index = celltypist.samples.downsample_adata(adata_Elmentaite, mode = 'each', n_cells = 500, by = 'Integrated_05', return_index = True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "accurate-enclosure",
   "metadata": {},
   "source": [
    "By default, only sampled cell indices are returned, which can keep the original `adata_Elmentaite` intact. Note these sampled cells are only used for model training."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "latest-pizza",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of downsampled cells for training: 54853\n"
     ]
    }
   ],
   "source": [
    "print(f\"Number of downsampled cells for training: {len(sampled_cell_index)}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "honey-series",
   "metadata": {},
   "source": [
    "### (Suggested) Feature selection for the first dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "heavy-policy",
   "metadata": {},
   "source": [
    "A feature selection step will restrict the number of genes during training, and can improve both training efficiency and prediction accuracy. It is recommended in most cases (though CellTypist models are proved to be robust when all genes are used).  \n",
    "  \n",
    "One example of feature selection is using the [scanpy.pp.highly_variable_genes](https://scanpy.readthedocs.io/en/stable/generated/scanpy.pp.highly_variable_genes.html). Depending on the datasets, you may need to take into account batch effects (e.g. by specifying `batch_key`), add/remove a specific list of genes (e.g. VDJ genes for immune cells), combine high-confidence features across zoomed-in compartments, or any other approaches tailored to your data."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "gorgeous-partition",
   "metadata": {},
   "source": [
    "In this notebook, we performed feature selection using CellTypist. This may not be the best approach for your data as noted above, but performs well as tested in several datasets."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "indonesian-bailey",
   "metadata": {},
   "source": [
    "First, train a quick CellTypist model by stochastic gradient descent learning on 10 cpus, with only a limited number of iterations (5)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "marked-millennium",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "🍳 Preparing data before training\n",
      "✂️ 4047 non-expressed genes are filtered out\n",
      "⚖️ Scaling input data\n",
      "🏋️ Training data using SGD logistic regression\n",
      "✅ Model training done!\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Time elapsed: 300.43501830101013 seconds\n"
     ]
    }
   ],
   "source": [
    "# Use `celltypist.train` to quickly train a rough CellTypist model.\n",
    "# You can also set `mini_batch = True` to enable mini-batch training.\n",
    "t_start = time.time()\n",
    "model_fs = celltypist.train(adata_Elmentaite[sampled_cell_index], 'Integrated_05', n_jobs = 10, max_iter = 5, use_SGD = True)\n",
    "t_end = time.time()\n",
    "print(f\"Time elapsed: {t_end - t_start} seconds\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "familiar-award",
   "metadata": {},
   "source": [
    "It takes 5 minutes to train this dataset with 33k genes and 134 cell types from 55k cells. Note you can increase `max_iter` to get a more accurate model at the expense of increased runtime."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "maritime-guess",
   "metadata": {},
   "source": [
    "This model is trained from all genes with only five epochs, and thus is not accurate enough for cell type prediction. But the information about genes can be utilised. Here, we drew top 100 important genes from each cell type as ranked by their absolute regression coefficients associated with the given cell type. For datasets with only several cell types, you may want to increase the top gene number from 100 to for example 300 in order to get a sufficient number of genes for final use."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "realistic-geometry",
   "metadata": {},
   "outputs": [],
   "source": [
    "gene_index = np.argpartition(np.abs(model_fs.classifier.coef_), -100, axis = 1)[:, -100:]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "searching-syndrome",
   "metadata": {},
   "source": [
    "We next combine/union these genes across cell types."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "tender-samoa",
   "metadata": {},
   "outputs": [],
   "source": [
    "gene_index = np.unique(gene_index)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "resident-stone",
   "metadata": {},
   "source": [
    "These genes will be used for downstream model training."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "legendary-stick",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of genes selected: 5103\n"
     ]
    }
   ],
   "source": [
    "print(f\"Number of genes selected: {len(gene_index)}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "sophisticated-consistency",
   "metadata": {},
   "source": [
    "### Model training and label transfer"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "sunset-discount",
   "metadata": {},
   "source": [
    "With the downsampled cells (55k) and selected features (5k), we next train `adata_Elmentaite` using `celltypist.train`."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "behavioral-holly",
   "metadata": {},
   "source": [
    "To allow for unbiased probability estimates, here we used the non-SGD version of CellTypist training (i.e. a traditional logistic regression framework)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "mental-separation",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "🍳 Preparing data before training\n",
      "✂️ 596 non-expressed genes are filtered out\n",
      "⚖️ Scaling input data\n",
      "🏋️ Training data using logistic regression\n",
      "✅ Model training done!\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Time elapsed: 44.481435183684034 minutes\n"
     ]
    }
   ],
   "source": [
    "# Add `check_expression = False` to bypass expression check with only a subset of genes.\n",
    "t_start = time.time()\n",
    "model = celltypist.train(adata_Elmentaite[sampled_cell_index, gene_index], 'Integrated_05', check_expression = False, n_jobs = 10, max_iter = 100)\n",
    "t_end = time.time()\n",
    "print(f\"Time elapsed: {(t_end - t_start)/60} minutes\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "identified-improvement",
   "metadata": {},
   "source": [
    "It takes 44 minutes to train this dataset with 5k genes and 134 cell types from 55k cells. Note you can increase `max_iter` to possibly get a more accurate model at the expense of increased runtime."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "hundred-sucking",
   "metadata": {},
   "source": [
    "First, save this model locally for future use."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "single-syntax",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Save the model.\n",
    "model.write('celltypist_demo_folder/model_from_Elmentaite_2021.pkl')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "sought-ocean",
   "metadata": {},
   "source": [
    "Next, predict `adata_James` using this model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "clear-target",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "🔬 Input data has 41650 cells and 18927 genes\n",
      "🔗 Matching reference genes in the model\n",
      "🧬 2866 features used for prediction\n",
      "⚖️ Scaling input data\n",
      "🖋️ Predicting labels\n",
      "✅ Prediction done!\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Time elapsed: 5.938851833343506 seconds\n"
     ]
    }
   ],
   "source": [
    "# CellTypist prediction without over-clustering and majority-voting.\n",
    "t_start = time.time()\n",
    "predictions = celltypist.annotate(adata_James, model = 'celltypist_demo_folder/model_from_Elmentaite_2021.pkl')\n",
    "t_end = time.time()\n",
    "print(f\"Time elapsed: {t_end - t_start} seconds\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "collected-student",
   "metadata": {},
   "source": [
    "It takes 6 seconds to predict a dataset of 42k cells and 19k genes."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "diverse-struggle",
   "metadata": {},
   "source": [
    "By default (`majority_voting = False`), CellTypist will infer the identity of each query cell independently. This leads to raw predicted cell type labels, and usually finishes within seconds. You can also turn on the majority-voting classifier (`majority_voting = True`), which refines cell identities within local subclusters after an over-clustering approach at the cost of increased runtime."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "dying-cloud",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "🔬 Input data has 41650 cells and 18927 genes\n",
      "🔗 Matching reference genes in the model\n",
      "🧬 2866 features used for prediction\n",
      "⚖️ Scaling input data\n",
      "🖋️ Predicting labels\n",
      "✅ Prediction done!\n",
      "👀 Detected a neighborhood graph in the input object, will run over-clustering on the basis of it\n",
      "⛓️ Over-clustering input data with resolution set to 20\n",
      "🗳️ Majority voting the predictions\n",
      "✅ Majority voting done!\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Time elapsed: 24.704184770584106 seconds\n"
     ]
    }
   ],
   "source": [
    "# CellTypist prediction with over-clustering and majority-voting.\n",
    "t_start = time.time()\n",
    "predictions = celltypist.annotate(adata_James, model = 'celltypist_demo_folder/model_from_Elmentaite_2021.pkl', majority_voting = True)\n",
    "t_end = time.time()\n",
    "print(f\"Time elapsed: {t_end - t_start} seconds\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "indie-mozambique",
   "metadata": {},
   "source": [
    "It takes 25 seconds to both predict and majority-vote a dataset of 42k cells and 19k genes."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "brilliant-muscle",
   "metadata": {},
   "source": [
    "The results include both predicted cell type labels (`predicted_labels`), over-clustering result (`over_clustering`), and predicted labels after majority voting in local subclusters (`majority_voting`). Note in the `predicted_labels`, each query cell gets its inferred label by choosing the most probable cell type among all possible cell types in the given model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "subjective-priority",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>predicted_labels</th>\n",
       "      <th>over_clustering</th>\n",
       "      <th>majority_voting</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>index</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AAACGGGAGGTGCAAC-1-Pan_T7935487</th>\n",
       "      <td>IgA plasma cell</td>\n",
       "      <td>154</td>\n",
       "      <td>IgA plasma cell</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AAAGATGTCCTCAACC-1-Pan_T7935487</th>\n",
       "      <td>IgA plasma cell</td>\n",
       "      <td>23</td>\n",
       "      <td>IgA plasma cell</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AAAGTAGTCTTACCGC-1-Pan_T7935487</th>\n",
       "      <td>IgA plasma cell</td>\n",
       "      <td>154</td>\n",
       "      <td>IgA plasma cell</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AACCATGCAGATTGCT-1-Pan_T7935487</th>\n",
       "      <td>IgG plasma cell</td>\n",
       "      <td>154</td>\n",
       "      <td>IgA plasma cell</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AACCATGTCCTGCCAT-1-Pan_T7935487</th>\n",
       "      <td>IgG plasma cell</td>\n",
       "      <td>79</td>\n",
       "      <td>IgA plasma cell</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TTTGTCACAAGTTAAG-1-Human_colon_16S8000484</th>\n",
       "      <td>Memory B</td>\n",
       "      <td>2</td>\n",
       "      <td>Memory B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TTTGTCAGTACCGAGA-1-Human_colon_16S8000484</th>\n",
       "      <td>CD8 Tmem</td>\n",
       "      <td>12</td>\n",
       "      <td>CD8 Tmem</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TTTGTCATCAACACCA-1-Human_colon_16S8000484</th>\n",
       "      <td>Activated CD4 T</td>\n",
       "      <td>205</td>\n",
       "      <td>SELL+ CD4 T</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TTTGTCATCCCAACGG-1-Human_colon_16S8000484</th>\n",
       "      <td>ILC3</td>\n",
       "      <td>196</td>\n",
       "      <td>Activated CD8 T</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TTTGTCATCGGTGTCG-1-Human_colon_16S8000484</th>\n",
       "      <td>Treg</td>\n",
       "      <td>77</td>\n",
       "      <td>Treg</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>41650 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                          predicted_labels over_clustering  \\\n",
       "index                                                                        \n",
       "AAACGGGAGGTGCAAC-1-Pan_T7935487            IgA plasma cell             154   \n",
       "AAAGATGTCCTCAACC-1-Pan_T7935487            IgA plasma cell              23   \n",
       "AAAGTAGTCTTACCGC-1-Pan_T7935487            IgA plasma cell             154   \n",
       "AACCATGCAGATTGCT-1-Pan_T7935487            IgG plasma cell             154   \n",
       "AACCATGTCCTGCCAT-1-Pan_T7935487            IgG plasma cell              79   \n",
       "...                                                    ...             ...   \n",
       "TTTGTCACAAGTTAAG-1-Human_colon_16S8000484         Memory B               2   \n",
       "TTTGTCAGTACCGAGA-1-Human_colon_16S8000484         CD8 Tmem              12   \n",
       "TTTGTCATCAACACCA-1-Human_colon_16S8000484  Activated CD4 T             205   \n",
       "TTTGTCATCCCAACGG-1-Human_colon_16S8000484             ILC3             196   \n",
       "TTTGTCATCGGTGTCG-1-Human_colon_16S8000484             Treg              77   \n",
       "\n",
       "                                           majority_voting  \n",
       "index                                                       \n",
       "AAACGGGAGGTGCAAC-1-Pan_T7935487            IgA plasma cell  \n",
       "AAAGATGTCCTCAACC-1-Pan_T7935487            IgA plasma cell  \n",
       "AAAGTAGTCTTACCGC-1-Pan_T7935487            IgA plasma cell  \n",
       "AACCATGCAGATTGCT-1-Pan_T7935487            IgA plasma cell  \n",
       "AACCATGTCCTGCCAT-1-Pan_T7935487            IgA plasma cell  \n",
       "...                                                    ...  \n",
       "TTTGTCACAAGTTAAG-1-Human_colon_16S8000484         Memory B  \n",
       "TTTGTCAGTACCGAGA-1-Human_colon_16S8000484         CD8 Tmem  \n",
       "TTTGTCATCAACACCA-1-Human_colon_16S8000484      SELL+ CD4 T  \n",
       "TTTGTCATCCCAACGG-1-Human_colon_16S8000484  Activated CD8 T  \n",
       "TTTGTCATCGGTGTCG-1-Human_colon_16S8000484             Treg  \n",
       "\n",
       "[41650 rows x 3 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "predictions.predicted_labels"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "naval-violation",
   "metadata": {},
   "source": [
    "Visualise the correspondence between this prediction result and the ground-truth cell types (`cell_type` in `adata_James.obs`)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "excess-cause",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 774x651.6 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# You can also change the value of `use_as_prediction` to `predicted_labels` to compare the raw prediction result with the pre-defined cell types.\n",
    "celltypist.dotplot(predictions, use_as_reference = 'cell_type', use_as_prediction = 'majority_voting')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "unlimited-immigration",
   "metadata": {},
   "source": [
    "For each cell type in `adata_James` (column), this plot shows how it can be 'decomposed' into different cell types predicted by the CellTypist model from `adata_Elmentaite` (rows)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "enabling-dodge",
   "metadata": {},
   "source": [
    "Transform the prediction result into an `AnnData`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "adaptive-basics",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Get an `AnnData` with predicted labels embedded into the cell metadata columns.\n",
    "adata = predictions.to_adata()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dated-david",
   "metadata": {},
   "source": [
    "Compared to `adata_James`, the new `adata` has additional prediction information in `adata.obs` (`predicted_labels`, `over_clustering`, `majority_voting` and `conf_score`). Of note, all these columns can be prefixed with a specific string by setting `prefix` in `to_adata`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "recognized-banking",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>predicted_labels</th>\n",
       "      <th>over_clustering</th>\n",
       "      <th>majority_voting</th>\n",
       "      <th>conf_score</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>index</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AAACGGGAGGTGCAAC-1-Pan_T7935487</th>\n",
       "      <td>IgA plasma cell</td>\n",
       "      <td>154</td>\n",
       "      <td>IgA plasma cell</td>\n",
       "      <td>0.879683</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AAAGATGTCCTCAACC-1-Pan_T7935487</th>\n",
       "      <td>IgA plasma cell</td>\n",
       "      <td>23</td>\n",
       "      <td>IgA plasma cell</td>\n",
       "      <td>0.995480</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AAAGTAGTCTTACCGC-1-Pan_T7935487</th>\n",
       "      <td>IgA plasma cell</td>\n",
       "      <td>154</td>\n",
       "      <td>IgA plasma cell</td>\n",
       "      <td>0.974575</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AACCATGCAGATTGCT-1-Pan_T7935487</th>\n",
       "      <td>IgG plasma cell</td>\n",
       "      <td>154</td>\n",
       "      <td>IgA plasma cell</td>\n",
       "      <td>0.835985</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AACCATGTCCTGCCAT-1-Pan_T7935487</th>\n",
       "      <td>IgG plasma cell</td>\n",
       "      <td>79</td>\n",
       "      <td>IgA plasma cell</td>\n",
       "      <td>0.856283</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TTTGTCACAAGTTAAG-1-Human_colon_16S8000484</th>\n",
       "      <td>Memory B</td>\n",
       "      <td>2</td>\n",
       "      <td>Memory B</td>\n",
       "      <td>0.995788</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TTTGTCAGTACCGAGA-1-Human_colon_16S8000484</th>\n",
       "      <td>CD8 Tmem</td>\n",
       "      <td>12</td>\n",
       "      <td>CD8 Tmem</td>\n",
       "      <td>0.975453</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TTTGTCATCAACACCA-1-Human_colon_16S8000484</th>\n",
       "      <td>Activated CD4 T</td>\n",
       "      <td>205</td>\n",
       "      <td>SELL+ CD4 T</td>\n",
       "      <td>0.942239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TTTGTCATCCCAACGG-1-Human_colon_16S8000484</th>\n",
       "      <td>ILC3</td>\n",
       "      <td>196</td>\n",
       "      <td>Activated CD8 T</td>\n",
       "      <td>0.427970</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TTTGTCATCGGTGTCG-1-Human_colon_16S8000484</th>\n",
       "      <td>Treg</td>\n",
       "      <td>77</td>\n",
       "      <td>Treg</td>\n",
       "      <td>0.700854</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>41650 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                          predicted_labels over_clustering  \\\n",
       "index                                                                        \n",
       "AAACGGGAGGTGCAAC-1-Pan_T7935487            IgA plasma cell             154   \n",
       "AAAGATGTCCTCAACC-1-Pan_T7935487            IgA plasma cell              23   \n",
       "AAAGTAGTCTTACCGC-1-Pan_T7935487            IgA plasma cell             154   \n",
       "AACCATGCAGATTGCT-1-Pan_T7935487            IgG plasma cell             154   \n",
       "AACCATGTCCTGCCAT-1-Pan_T7935487            IgG plasma cell              79   \n",
       "...                                                    ...             ...   \n",
       "TTTGTCACAAGTTAAG-1-Human_colon_16S8000484         Memory B               2   \n",
       "TTTGTCAGTACCGAGA-1-Human_colon_16S8000484         CD8 Tmem              12   \n",
       "TTTGTCATCAACACCA-1-Human_colon_16S8000484  Activated CD4 T             205   \n",
       "TTTGTCATCCCAACGG-1-Human_colon_16S8000484             ILC3             196   \n",
       "TTTGTCATCGGTGTCG-1-Human_colon_16S8000484             Treg              77   \n",
       "\n",
       "                                           majority_voting  conf_score  \n",
       "index                                                                   \n",
       "AAACGGGAGGTGCAAC-1-Pan_T7935487            IgA plasma cell    0.879683  \n",
       "AAAGATGTCCTCAACC-1-Pan_T7935487            IgA plasma cell    0.995480  \n",
       "AAAGTAGTCTTACCGC-1-Pan_T7935487            IgA plasma cell    0.974575  \n",
       "AACCATGCAGATTGCT-1-Pan_T7935487            IgA plasma cell    0.835985  \n",
       "AACCATGTCCTGCCAT-1-Pan_T7935487            IgA plasma cell    0.856283  \n",
       "...                                                    ...         ...  \n",
       "TTTGTCACAAGTTAAG-1-Human_colon_16S8000484         Memory B    0.995788  \n",
       "TTTGTCAGTACCGAGA-1-Human_colon_16S8000484         CD8 Tmem    0.975453  \n",
       "TTTGTCATCAACACCA-1-Human_colon_16S8000484      SELL+ CD4 T    0.942239  \n",
       "TTTGTCATCCCAACGG-1-Human_colon_16S8000484  Activated CD8 T    0.427970  \n",
       "TTTGTCATCGGTGTCG-1-Human_colon_16S8000484             Treg    0.700854  \n",
       "\n",
       "[41650 rows x 4 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "adata.obs.iloc[:, -4:]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "differential-owner",
   "metadata": {},
   "source": [
    "Visually compare the original cell type annotations with the CellTypist predictions."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "later-shelf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 989.28x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sc.pl.umap(adata, color = ['cell_type', 'majority_voting'], legend_loc = 'on data')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "placed-banking",
   "metadata": {},
   "source": [
    "## Transfer cell type labels from the second dataset to the first dataset\n",
    "This section shows how to transfer cell type labels from `adata_James` to `adata_Elmentaite`, and to assess and visualise the prediction result."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "appointed-relevance",
   "metadata": {},
   "source": [
    "Since `adata_James` has a modest number of cells (42k), we do not perform cell downsampling for this dataset before training.  "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "graduate-rendering",
   "metadata": {},
   "source": [
    "The workflow is the same as that in the previous section.  \n",
    "  \n",
    "First, perform a fast feature selection."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "quality-anthony",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "🍳 Preparing data before training\n",
      "✂️ 552 non-expressed genes are filtered out\n",
      "⚖️ Scaling input data\n",
      "🏋️ Training data using SGD logistic regression\n",
      "✅ Model training done!\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Time elapsed: 71.80851602554321 seconds\n"
     ]
    }
   ],
   "source": [
    "# Use `celltypist.train` to quickly train a rough CellTypist model.\n",
    "# You can also set `mini_batch = True` to enable mini-batch training.\n",
    "t_start = time.time()\n",
    "model_fs = celltypist.train(adata_James, 'cell_type', n_jobs = 10, max_iter = 5, use_SGD = True)\n",
    "t_end = time.time()\n",
    "print(f\"Time elapsed: {t_end - t_start} seconds\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "affected-acquisition",
   "metadata": {},
   "source": [
    "Similarly, select top features across cell types."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "frank-spectrum",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of genes selected: 2783\n"
     ]
    }
   ],
   "source": [
    "# This dataset has fewer cell types (25) than `adata_Elmentaite`, use top 200 genes instead.\n",
    "gene_index = np.argpartition(np.abs(model_fs.classifier.coef_), -200, axis = 1)[:, -200:]\n",
    "gene_index = np.unique(gene_index)\n",
    "print(f\"Number of genes selected: {len(gene_index)}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "gross-actress",
   "metadata": {},
   "source": [
    "Train a CellTypist model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "contained-interference",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "🍳 Preparing data before training\n",
      "✂️ 71 non-expressed genes are filtered out\n",
      "⚖️ Scaling input data\n",
      "🏋️ Training data using logistic regression\n",
      "✅ Model training done!\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Time elapsed: 19.2239750623703 minutes\n"
     ]
    }
   ],
   "source": [
    "# Add `check_expression = False` to bypass expression check with only a subset of genes.\n",
    "t_start = time.time()\n",
    "model = celltypist.train(adata_James[:, gene_index], 'cell_type', check_expression = False, n_jobs = 10, max_iter = 100)\n",
    "t_end = time.time()\n",
    "print(f\"Time elapsed: {(t_end - t_start)/60} minutes\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "acquired-silly",
   "metadata": {},
   "source": [
    "Save this model and then use it to predict `adata_Elmentaite`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "irish-booking",
   "metadata": {},
   "outputs": [],
   "source": [
    "model.write('celltypist_demo_folder/model_from_James_2020.pkl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "alien-details",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "🔬 Input data has 428469 cells and 33538 genes\n",
      "🔗 Matching reference genes in the model\n",
      "🧬 2712 features used for prediction\n",
      "⚖️ Scaling input data\n",
      "🖋️ Predicting labels\n",
      "✅ Prediction done!\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Time elapsed: 27.973097562789917 seconds\n"
     ]
    }
   ],
   "source": [
    "# You can also set `majority_voting = True`, which will take much longer time as the query dataset is large now (428k cells).\n",
    "t_start = time.time()\n",
    "predictions = celltypist.annotate(adata_Elmentaite, model = 'celltypist_demo_folder/model_from_James_2020.pkl')\n",
    "t_end = time.time()\n",
    "print(f\"Time elapsed: {t_end - t_start} seconds\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "sustained-fifty",
   "metadata": {},
   "source": [
    "Visualise the result."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "empirical-enterprise",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 3677.76x702 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "celltypist.dotplot(predictions, use_as_reference = 'Integrated_05', use_as_prediction = 'predicted_labels')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dedicated-shape",
   "metadata": {},
   "source": [
    "As the image shows, many non-immune cells in `adata_Elmentaite` are predicted with low probabilities as expected, as `adata_James` contains only immune cells."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "standing-description",
   "metadata": {},
   "source": [
    "## Feature selection & model training in one command"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "embedded-alfred",
   "metadata": {},
   "source": [
    "Overall, we suggest the users to perform their own feature selection before training to alleviate the training burden.  \n",
    "  \n",
    "However, if you want to perform feature selection and model training all based on CellTypist as in the previous sections, the training function `celltypist.train` has the arguments `feature_selection = True` (default to `False`) and `top_genes = 300` (default to `300`) to perform the feature selection and model training within one run."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "iraqi-bookmark",
   "metadata": {},
   "source": [
    "As noted earlier, increasing `max_iter` (default to `1000`) during both feature selection and data training can result in longer runtime but possibly an improved model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "attended-pierre",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Not run. One command to select features and train the model.\n",
    "#model = celltypist.train(adata_James, 'cell_type', n_jobs = 10, max_iter = 100, feature_selection = True, top_genes = 300)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "needed-musical",
   "metadata": {},
   "source": [
    "More information can be found [here](https://github.com/Teichlab/celltypist#supplemental-guidance-generate-a-custom-model)."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
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